Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 377

The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.

Extracellular vesicles as an emerging mechanism of cell-to-cell communication

Open access
Tetta, Ciro, Ghigo, Ezio, Silengo, Lorenzo, Deregibus, Maria Chiara, Camussi, Giovanni·2013·Endocrine

Abstract

The concept that extracellular vesicles may act as paracrine/endocrine effectors is based on the evidence that they are able to transport bioactive molecules between cells, either within a defined microenvironment or remotely, by entering the biologic fluids. Extracellular vesicles, including exosomes and microvesicles, may deliver lipids and various functional transcripts, released from the cell of origin, to target cells. Since extracellular vesicles contain defined patterns of mRNA, microRNA, long non-coding RNA, and occasionally genomic DNA, they may transfer genetic information which induces transient or persistent phenotypic changes in recipient cells. In this review, we will discuss potential physiologic and pathological implications of extracellular vesicles, as well as the diagnostic and therapeutic opportunities that they may provide.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s12020-012-9839-0

Cites

81 of 81 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

1 retracted

Show all 81 references

Cited by

See all 377

Metadata

Authors
Tetta, C., Ghigo, E., Silengo, L., Deregibus, M. C., & Camussi, G.
Venue
Endocrine
Published
2012-12-01
Volume
44
Issue
1
Pages
11-19
ISSN
  • 0969-711X (ISSN-L)
  • 1355-008X
  • 1559-0100
OpenAlex
W1983501902
Cited by
377
References
81
FWCI
5.34
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Extracellular vesicles as an emerging mechanism of cell-to-cell communication. https://app.cochat.ai/papers/10.1007/s12020-012-9839-0
The paper
Tetta, C., Ghigo, E., Silengo, L., Deregibus, M. C., & Camussi, G. (2013). Extracellular vesicles as an emerging mechanism of cell-to-cell communication. Endocrine. https://doi.org/10.1007/s12020-012-9839-0

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.